Freelance Data Scientist | ML Engineer | Full-Stack Developer
Passionate about leveraging data science, machine learning, and software engineering to solve complex problems. With 82 DataCamp projects and 31 self-initiated projects, I bring a diverse skill set in AI, aerospace simulations, web applications, and more.
5 DataCamp Professional Certifications
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Autonomous Lunar Rescue System - AI-powered lunar rescue coordination webapp
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Falcon 9 Landing Simulator - Advanced trajectory optimization using Dymos
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Mars Rover Navigation Simulator - Path planning and terrain analysis
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NZ Launch Site AI Project - Optimal launch site selection using ML
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Satellite Orbit Classification - ML models for orbital mechanics
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Nuclear Fission Reactors - Moon Base Alpha - Reactor simulation for lunar base
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Book Writer AI Toolkit - AI-powered book generation and production management
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Super Claude - Enhanced Claude AI integration toolkit
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Self-Hosted AI Starter Kit - Complete self-hosted AI solution
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ML Model for REE Detection - Rare Earth Element detection using ML
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Olanzapine ML Framework - Pharmaceutical analysis ML framework
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Beyond the Plate Web App - Nutrition and meal planning platform
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Feast Planner App - Event meal planning and coordination
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News Aggregator - AI-powered news curation platform
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Presentation Web App - Interactive presentation builder
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Interactive Historical Map Generator - Dynamic historical map visualization
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Map Tile Generation Web App - Custom map tile generation system
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Country Map Tile Generator - Automated country map tile creation
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Interactive Basemap - Customizable interactive mapping solution
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SpriteStickerForge Pro - Professional sprite and sticker creation tool
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RTS Game Dev - Real-time strategy game development framework
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Interactive Map Python Pygame - Pygame-based interactive map system
- Project Jubilees Annotation - Historical text annotation and analysis
I've completed 82 DataCamp projects covering comprehensive topics across the data science ecosystem:
🤖 Machine Learning & AI:
- Supervised Learning: Classification, Regression, Decision Trees, Random Forests, XGBoost
- Unsupervised Learning: K-Means Clustering, Dimensionality Reduction
- Model Optimization: Hyperparameter Tuning, Cross-Validation, Feature Engineering
- Explainable AI: SHAP (Shapley Values) for model interpretability
🧠 Deep Learning & Neural Networks:
- Frameworks: PyTorch, TensorFlow/Keras, torchvision
- Architectures: CNNs, ResNet-18, Transfer Learning
- Applications: Image Classification, Object Detection, Multi-Modal Learning
- Computer Vision: Fashion MNIST, Traffic Signs, Medical Imaging (X-rays), Food Classification
🗣️ Natural Language Processing:
- Transformers: Hugging Face, DistilBERT, BART, GPT-4 API Integration
- Techniques: Sentiment Analysis, Text Summarization, Machine Translation, Question Answering
- Text Analytics: TF-IDF, NLTK, Tokenization
- Applications: Review Classification, Email Categorization, Claims Analysis
📊 Data Science & Analytics:
- Data Manipulation: pandas, NumPy, advanced data wrangling
- Statistical Analysis: Hypothesis Testing, A/B Testing, ANOVA, Chi-Square Tests
- Visualization: matplotlib, seaborn, Plotly for interactive charts
- Time Series: Forecasting, Trend Analysis, Temporal Data Handling
💼 Business & Domain Applications:
- Finance: Portfolio Optimization (PyPortfolioOpt), Risk-Return Analysis, FAANG Stock Analysis
- Healthcare: Medical Image Classification, Clinical Data Analysis
- E-commerce: Customer Review Analysis, Sales Forecasting, Recommendation Systems
- Insurance: Claims Prediction, OCR Document Processing
- Transportation: Traffic Sign Detection, Car Review Sentiment Analysis
🔧 Data Engineering:
- ETL Pipelines: Data transformation, validation, automation
- Vector Databases: ChromaDB, Pinecone for semantic search
- Embeddings: OpenAI Embeddings, RAG (Retrieval-Augmented Generation)
- Data Formats: JSON, Parquet, CSV processing
💻 Advanced Programming:
- Python: Object-Oriented Programming, Type Hinting, Advanced Functions
- R: Statistical Computing, dplyr, tidyverse
- Model Deployment: joblib serialization, production-ready pipelines
🎯 Specialized Tools & Technologies:
- LLMs: GPT-4, Llama (llama-cpp-python), OpenAI API
- Cloud Services: Model hosting, vector databases
- Optimization: Accelerate for distributed training
- Metrics: BLEU, F1-Score, Accuracy evaluation
📁 82 DataCamp Projects Completed - Comprehensive portfolio spanning ML, AI, Data Engineering, and Data Science
Python JavaScript TypeScript SQL R HTML5 CSS3
React Flask FastAPI TensorFlow PyTorch scikit-learn Pandas NumPy
Git Docker VS Code Jupyter PostgreSQL AWS
Machine Learning Data Science Aerospace GIS Web Development
AI Engineer for Developers
Associate Level Python Data Associate
Python Data Associate
Professional Certification
Data Engineer
Associate Level AI Engineer for DS
AI Engineer for Data Scientists
Associate Level
5 Professional Certifications demonstrating expertise in:
- 🤖 AI Engineering & Development
- 🐍 Python Data Analysis & Engineering
- 🔧 Data Engineering & ETL Pipelines
- 📊 Machine Learning & AI for Data Science
- 🏗️ Professional Data Infrastructure
TensorFlow Keras PyTorch scikit-learn Hugging Face OpenAI LangChain
Pandas NumPy Matplotlib Seaborn Plotly SciPy Statsmodels
Apache Spark Apache Airflow Apache Kafka Hadoop dbt
PostgreSQL MySQL MongoDB Redis Snowflake Amazon S3
AWS Azure Google Cloud Docker Kubernetes
Jupyter VS Code PyCharm RStudio
Machine Learning & AI:
- Supervised Learning (Classification, Regression)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Deep Learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Large Language Models (LLMs)
- Prompt Engineering & Fine-tuning
- Model Deployment & MLOps
Data Engineering:
- ETL/ELT Pipeline Design & Implementation
- Data Warehousing & Data Lakes
- Real-time Data Processing
- Batch Processing & Workflow Orchestration
- Data Quality & Testing
- CI/CD for Data Pipelines
- Cloud Data Architecture
- Distributed Computing
Data Science & Analytics:
- Statistical Analysis & Hypothesis Testing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Time Series Analysis
- A/B Testing
- Data Visualization & Storytelling
- Predictive Modeling
- Business Intelligence
Programming & Software Engineering:
- Object-Oriented Programming (OOP)
- Functional Programming
- API Development (REST, GraphQL)
- Version Control (Git)
- Unit Testing & TDD
- Code Optimization & Debugging
- Software Design Patterns
- ✅ AI Engineer for Developers Associate - DataCamp
- ✅ Python Data Associate - DataCamp
- ✅ Data Engineer Associate - DataCamp
- ✅ AI Engineer for Data Scientists Associate - DataCamp
- ✅ Data Engineer Professional - DataCamp
- 🚀 31 Self-Initiated Projects spanning aerospace, AI, web dev, GIS, and more
- 📚 82 DataCamp Projects completed across Data Science, ML, and Engineering
- 🌟 113 Total Projects demonstrating continuous learning and practical application
- 🛰️ Specialized in aerospace simulations and trajectory optimization
- 🤖 Expert in AI/ML applications and LLM integration
- 🌐 Full-stack web development with modern frameworks
- 🗺️ Geospatial analysis and interactive mapping systems
- 📊 Advanced data analysis, visualization, and statistical modeling
LinkedIn Personal Email Business Email
- 🎯 Advanced Deep Learning architectures
- ☁️ Cloud-native ML deployment (AWS SageMaker, Azure ML)
- 🚀 Advanced aerospace trajectory optimization
- 🌐 Distributed systems and microservices
💡 "Turning data into insights, code into solutions, and ideas into reality."